Sensitivity and robustness of signal separation techniques under new set of spectral and energy attributes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00210462" target="_blank" >RIV/68407700:21340/13:00210462 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Sensitivity and robustness of signal separation techniques under new set of spectral and energy attributes
Original language description
The acoustic emission (AE) defectoscopy principle, based on the acoustic signals generated by materials under load, is used to characterize and identify the damage developments. Reliable identification and classification of pre-localized AE sources is one of the most important and also the most difficult problems in AE monitoring. We measured acoustic emission signals by means of Xedo-5 measuring device with piezo-ceramic sensors. Subsequently we deal with the classification of acoustic emission randomsignals through statistical clustering such as the Fuzzy Clustering Method (FCM) and the Gaussian Mixture Model (GMM). The signals are separated by means of attributes obtained directly from signals or from signal spectrums, e.g.,the maximum module of the Fast Fourier Transform or the energy of signal. We carry out acoustic emission experiment to test the proposed classification attributes and further we perform a computer simulation study in order to find out the robustness and sensitiv
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SPMS 2013 Stochastic and Physical Monitoring Systems Proceedings
ISBN
978-80-01-05383-6
ISSN
—
e-ISSN
—
Number of pages
13
Pages from-to
111-123
Publisher name
ČVUT
Place of publication
Praha
Event location
Nebřich
Event date
Jun 24, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—